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IEEE VSIP 2026 : IEEE--2026 The 8th International Conference on Video, Signal and Image Processing (VSIP 2026)

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Link: http://vsip.net/
 
When Nov 6, 2026 - Nov 8, 2026
Where Zhenjiang, Jiangsu, China
Submission Deadline Jul 20, 2026
Categories    image processing   information technology   computer vision   deep learning
 

Call For Papers

Full name: The 8th International Conference on Video, Signal and Image Processing
Abbreviation: VSIP 2026

*2026 The 8th International Conference on Video, Signal and Image Processing (VSIP)*
November 6-8, 2026 | Zhenjiang, Jiangsu, China

VSIP 2026 has been included in IEEE event list!

2026 The 8th International Conference on Video, Signal and Image Processing (VSIP) will be held in Zhenjiang, Jiangsu, China during November 6-8, 2026. VSIP 2026 solicits contributions worldwide that illustrate research results, projects, surveys and industrial experiences in related fields of Video, Signal and Image Processing.

VSIP 2026 is co-sponsored by Jiangsu University of Science and Technology, China and IEEE; hosted by Ocean College, Jiangsu University of Science and Technology, China.

☑Publication
Submitted papers will be peer reviewed by program committees and technical committee, and accepted papers will be published into conference proceedings by IEEE after registration and presentation. The proceedings will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex & Scopus.
VSIP 2019-2025 Proceedings have been archived in the ACM Digital Library, and indexed by Ei Compendex, Scopus.

☑Topics
Topics of interest for submission include, but are not limited to:
★ Video Processing & Analysis ★
- Real-time video processing algorithms
- Video super-resolution and enhancement
- Motion estimation and object tracking
- 3D video processing and stereo vision
- Video summarization and retrieval

★ Signal Processing & Applications ★
- Adaptive and nonlinear signal processing
- Biomedical signal processing and analysis
- Speech and audio signal processing
- Time-frequency analysis and wavelets
- Edge and fog computing for signal processing

★ Image Processing & Computer Vision ★
- Image segmentation and object detection
- Deep learning for image classification
- Medical image processing (e.g., MRI, CT)
- Hyperspectral and multispectral imaging
- Image fusion and panorama stitching

★ Multimedia Systems & Applications ★
- Multimedia content analysis and indexing
- Augmented/Virtual Reality (AR/VR) technologies
- Multimedia for autonomous vehicles
- Haptic and tactile multimedia systems
- Cloud-based multimedia processing

★ Machine Learning & AI for Visual Data ★
- Self-supervised learning for video/image data
- Few-shot learning in visual recognition
- Transformer models for visual processing
- Federated learning for distributed vision systems
- Bias and fairness in visual AI models

For more topics, please visit: http://www.vsip.net/cfp.html

☑Submission Guideline
♢ English is the official language. Paper should be prepared in English.
♢ Abstract submission is for presentation only without publication.
♢ Full paper submission is for both presentation and publication. (No less than 5 pages)
♢ Submission Methods:
- By online submission system: http://confsys.iconf.org/submission/vsip2026
- Or Submit to vsip_contact@126.com as attachment
For more details, please visit: http://www.vsip.net/sub.html

☑Zhenjiang Brief Guide
When talking about Zhenjiang, most people will naturally associate it with the legend of the Flooding of Jinshan Temple by the White Lady. It has its own unique cultural heritage. The old streets, full of charming historical architecture, make you feel like you are in an old movie. The aromatic vinegar of Zhenjiang is also a symbol of the city, and when paired with the local specialty crab dumplings, the taste is very sweet and fresh! Zhenjiang is so beautiful that it makes people green with envy that they cannot live here.

☑Contact Us
Conference Secretary: Miss Nila Wang
Email: vsip_contact@126.com
Tel: +86-18080013977
Website: http://vsip.net/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)

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